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SSRN Electronic Journal
Article . 2023 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2025
Data sources: EconStor
EconStor
Research . 2023
Data sources: EconStor
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Duration Dependence in Finding a Job: Applications, Interviews, and Job Offers

Authors: Zuchuat, Jeremy; Lalive, Rafael; Osikominu, Aderonke; Pesaresi, Lorenzo; Zweimüller, Josef;

Duration Dependence in Finding a Job: Applications, Interviews, and Job Offers

Abstract

The job finding rate declines with the duration of unemployment. While this is a well established fact, the reasons are still disputed. We use monthly search diaries from Swiss public employment offices to shed new light on this issue. Search diaries record all applications sent by job seekers, including the outcome of each application – whether the employer followed up with a job interview and a job offer. Based on more than 600,000 applications sent by 15,000 job seekers, we find that job applications and job interviews decrease, but job offers (after an interview) increase with duration. A model with statistical discrimination by firms and learning from search outcomes by workers replicates these empirical duration patterns closely. The structurally estimated model predicts that 55 percent of the decline in the job finding rate is due to “true” duration dependence, while the remaining 45 percent is due to dynamic selection of the unemployment pool. We also discuss further drivers of the observed duration patterns, such as human capital depreciation, stock-flow matching, depletion of one’s personal network, and changes in application targeting or quality.

Country
Switzerland
Keywords

job finding, callback, Job search, ddc:330, J65, job offer, J24, duration dependence, job interview, dynamic selection, 330 Economics, job search, job application, 10007 Department of Economics, search effort, J64

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green